Graphics Reference
In-Depth Information
Techniques to find optimal global minimum energy solutions may be
preferable for fully automated image segmentation applications because they
will usually lead to a unique answer for a given search space. Moreover, there
is no need to specify initialization and starting criteria for the search. Note
that the global minimum is not always the best solution for a given segmenta-
tion problem but, in our experience, it can work surprisingly well if the search
space is well chosen.
Henceforth we will concentrate on methods for finding globally optimal
solutions to the energy minimization problem and then apply this to the
optimal image segmentation problem. In the next chapter, we will relate the
development of this theme over a number of years through case studies from
several research projects.
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